{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "from datetime import datetime, timedelta\n",
    "import matplotlib.pylab as plot\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import dates\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.style.use('ggplot')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Read data from http bro logs\n",
    "with open(\"http.log\",'r') as infile:\n",
    "    file_data = infile.read()\n",
    "    \n",
    "# Split file by newlines\n",
    "file_data = file_data.split('\\n')\n",
    "\n",
    "# Remove comment lines\n",
    "http_data = []\n",
    "for line in file_data:\n",
    "    if line[0] is not None and line[0] != \"#\":\n",
    "        http_data.append(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Lets analyze user agents\n",
    "user_agent_analysis = {}\n",
    "user_agent_overall = {}\n",
    "for line in http_data:\n",
    "    # Extract the timestamp\n",
    "    timestamp = datetime.fromtimestamp(float(line.split('\\t')[0]))\n",
    "    # Strip second and microsecond from timestamp\n",
    "    timestamp = str(timestamp.replace(second=0,microsecond=0))\n",
    "    \n",
    "    # Extract the user agent\n",
    "    user_agent = line.split('\\t')[11]\n",
    "    \n",
    "    # Update status code analysis variable\n",
    "    if user_agent not in user_agent_analysis.keys():\n",
    "        user_agent_analysis[user_agent] = {timestamp: 1}\n",
    "    else:\n",
    "        if timestamp not in user_agent_analysis[user_agent].keys():\n",
    "            user_agent_analysis[user_agent][timestamp] = 1\n",
    "        else:\n",
    "            user_agent_analysis[user_agent][timestamp] += 1\n",
    "            \n",
    "    # Update overall user agent count\n",
    "    if user_agent not in user_agent_overall.keys():\n",
    "        user_agent_overall[user_agent] = 1\n",
    "    else:\n",
    "        user_agent_overall[user_agent] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "      <th>2015-10-21 06:14:00</th>\n",
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       "      <th>2015-10-21 06:16:00</th>\n",
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       "      <th>2015-10-21 06:20:00</th>\n",
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       "      <th>2015-10-21 06:21:00</th>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:24:00</th>\n",
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       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:25:00</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:26:00</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:27:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:28:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>28.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 06:29:00</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>2015-10-21 07:01:00</th>\n",
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       "      <th>2015-10-21 10:34:00</th>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 10:35:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <th>2015-10-21 10:36:00</th>\n",
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       "      <th>2015-10-21 10:37:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2015-10-21 10:38:00</th>\n",
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       "      <th>2015-10-21 10:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>38.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 10:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 11:10:00</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>2015-10-21 11:11:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:19:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-21 11:22:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:24:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:36:00</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:37:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:39:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:40:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:41:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:42:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:43:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:46:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:47:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:48:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:49:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:50:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:51:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:52:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:53:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:54:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        -  \\\n",
       "2015-10-21 05:09:00  29.0   \n",
       "2015-10-21 05:10:00   2.0   \n",
       "2015-10-21 05:11:00  21.0   \n",
       "2015-10-21 05:12:00   7.0   \n",
       "2015-10-21 06:02:00   0.0   \n",
       "2015-10-21 06:03:00   1.0   \n",
       "2015-10-21 06:04:00   1.0   \n",
       "2015-10-21 06:05:00  19.0   \n",
       "2015-10-21 06:06:00   0.0   \n",
       "2015-10-21 06:07:00   0.0   \n",
       "2015-10-21 06:08:00   0.0   \n",
       "2015-10-21 06:09:00   0.0   \n",
       "2015-10-21 06:10:00   0.0   \n",
       "2015-10-21 06:11:00   0.0   \n",
       "2015-10-21 06:12:00   0.0   \n",
       "2015-10-21 06:13:00   0.0   \n",
       "2015-10-21 06:14:00   0.0   \n",
       "2015-10-21 06:16:00   0.0   \n",
       "2015-10-21 06:17:00   0.0   \n",
       "2015-10-21 06:18:00   0.0   \n",
       "2015-10-21 06:19:00   0.0   \n",
       "2015-10-21 06:20:00   0.0   \n",
       "2015-10-21 06:21:00   0.0   \n",
       "2015-10-21 06:24:00   0.0   \n",
       "2015-10-21 06:25:00   0.0   \n",
       "2015-10-21 06:26:00   0.0   \n",
       "2015-10-21 06:27:00   0.0   \n",
       "2015-10-21 06:28:00   0.0   \n",
       "2015-10-21 06:29:00   0.0   \n",
       "2015-10-21 07:01:00  12.0   \n",
       "...                   ...   \n",
       "2015-10-21 10:34:00   0.0   \n",
       "2015-10-21 10:35:00   1.0   \n",
       "2015-10-21 10:36:00   0.0   \n",
       "2015-10-21 10:37:00   0.0   \n",
       "2015-10-21 10:38:00   0.0   \n",
       "2015-10-21 10:44:00   0.0   \n",
       "2015-10-21 10:45:00   0.0   \n",
       "2015-10-21 11:10:00   0.0   \n",
       "2015-10-21 11:11:00   0.0   \n",
       "2015-10-21 11:19:00   2.0   \n",
       "2015-10-21 11:22:00   0.0   \n",
       "2015-10-21 11:24:00   0.0   \n",
       "2015-10-21 11:36:00   6.0   \n",
       "2015-10-21 11:37:00   1.0   \n",
       "2015-10-21 11:39:00   0.0   \n",
       "2015-10-21 11:40:00   0.0   \n",
       "2015-10-21 11:41:00   0.0   \n",
       "2015-10-21 11:42:00   0.0   \n",
       "2015-10-21 11:43:00   0.0   \n",
       "2015-10-21 11:44:00   0.0   \n",
       "2015-10-21 11:45:00   0.0   \n",
       "2015-10-21 11:46:00   0.0   \n",
       "2015-10-21 11:47:00   0.0   \n",
       "2015-10-21 11:48:00   0.0   \n",
       "2015-10-21 11:49:00   0.0   \n",
       "2015-10-21 11:50:00   0.0   \n",
       "2015-10-21 11:51:00   0.0   \n",
       "2015-10-21 11:52:00   0.0   \n",
       "2015-10-21 11:53:00   0.0   \n",
       "2015-10-21 11:54:00   0.0   \n",
       "\n",
       "                     Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.64 Safari/537.36  \\\n",
       "2015-10-21 05:09:00                                                0.0                                                          \n",
       "2015-10-21 05:10:00                                                0.0                                                          \n",
       "2015-10-21 05:11:00                                                0.0                                                          \n",
       "2015-10-21 05:12:00                                                0.0                                                          \n",
       "2015-10-21 06:02:00                                                4.0                                                          \n",
       "2015-10-21 06:03:00                                                0.0                                                          \n",
       "2015-10-21 06:04:00                                                2.0                                                          \n",
       "2015-10-21 06:05:00                                              377.0                                                          \n",
       "2015-10-21 06:06:00                                             1196.0                                                          \n",
       "2015-10-21 06:07:00                                              993.0                                                          \n",
       "2015-10-21 06:08:00                                             1171.0                                                          \n",
       "2015-10-21 06:09:00                                             1017.0                                                          \n",
       "2015-10-21 06:10:00                                               19.0                                                          \n",
       "2015-10-21 06:11:00                                               18.0                                                          \n",
       "2015-10-21 06:12:00                                                2.0                                                          \n",
       "2015-10-21 06:13:00                                               13.0                                                          \n",
       "2015-10-21 06:14:00                                               63.0                                                          \n",
       "2015-10-21 06:16:00                                               66.0                                                          \n",
       "2015-10-21 06:17:00                                               19.0                                                          \n",
       "2015-10-21 06:18:00                                                9.0                                                          \n",
       "2015-10-21 06:19:00                                                2.0                                                          \n",
       "2015-10-21 06:20:00                                               55.0                                                          \n",
       "2015-10-21 06:21:00                                                3.0                                                          \n",
       "2015-10-21 06:24:00                                                4.0                                                          \n",
       "2015-10-21 06:25:00                                               10.0                                                          \n",
       "2015-10-21 06:26:00                                                2.0                                                          \n",
       "2015-10-21 06:27:00                                                0.0                                                          \n",
       "2015-10-21 06:28:00                                                0.0                                                          \n",
       "2015-10-21 06:29:00                                                0.0                                                          \n",
       "2015-10-21 07:01:00                                                0.0                                                          \n",
       "...                                                                ...                                                          \n",
       "2015-10-21 10:34:00                                                0.0                                                          \n",
       "2015-10-21 10:35:00                                                0.0                                                          \n",
       "2015-10-21 10:36:00                                                0.0                                                          \n",
       "2015-10-21 10:37:00                                                0.0                                                          \n",
       "2015-10-21 10:38:00                                                0.0                                                          \n",
       "2015-10-21 10:44:00                                                0.0                                                          \n",
       "2015-10-21 10:45:00                                                0.0                                                          \n",
       "2015-10-21 11:10:00                                                0.0                                                          \n",
       "2015-10-21 11:11:00                                                0.0                                                          \n",
       "2015-10-21 11:19:00                                                0.0                                                          \n",
       "2015-10-21 11:22:00                                                0.0                                                          \n",
       "2015-10-21 11:24:00                                                0.0                                                          \n",
       "2015-10-21 11:36:00                                                0.0                                                          \n",
       "2015-10-21 11:37:00                                                0.0                                                          \n",
       "2015-10-21 11:39:00                                                0.0                                                          \n",
       "2015-10-21 11:40:00                                                0.0                                                          \n",
       "2015-10-21 11:41:00                                                0.0                                                          \n",
       "2015-10-21 11:42:00                                                0.0                                                          \n",
       "2015-10-21 11:43:00                                                0.0                                                          \n",
       "2015-10-21 11:44:00                                                0.0                                                          \n",
       "2015-10-21 11:45:00                                                0.0                                                          \n",
       "2015-10-21 11:46:00                                                0.0                                                          \n",
       "2015-10-21 11:47:00                                                0.0                                                          \n",
       "2015-10-21 11:48:00                                                0.0                                                          \n",
       "2015-10-21 11:49:00                                                0.0                                                          \n",
       "2015-10-21 11:50:00                                                0.0                                                          \n",
       "2015-10-21 11:51:00                                                0.0                                                          \n",
       "2015-10-21 11:52:00                                                0.0                                                          \n",
       "2015-10-21 11:53:00                                                0.0                                                          \n",
       "2015-10-21 11:54:00                                                0.0                                                          \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:28.0) Gecko/20100101 Firefox/28.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                            \n",
       "2015-10-21 05:10:00                                                0.0                            \n",
       "2015-10-21 05:11:00                                                0.0                            \n",
       "2015-10-21 05:12:00                                                0.0                            \n",
       "2015-10-21 06:02:00                                                0.0                            \n",
       "2015-10-21 06:03:00                                                0.0                            \n",
       "2015-10-21 06:04:00                                                0.0                            \n",
       "2015-10-21 06:05:00                                                0.0                            \n",
       "2015-10-21 06:06:00                                                0.0                            \n",
       "2015-10-21 06:07:00                                                0.0                            \n",
       "2015-10-21 06:08:00                                                0.0                            \n",
       "2015-10-21 06:09:00                                                0.0                            \n",
       "2015-10-21 06:10:00                                                0.0                            \n",
       "2015-10-21 06:11:00                                                0.0                            \n",
       "2015-10-21 06:12:00                                                0.0                            \n",
       "2015-10-21 06:13:00                                                0.0                            \n",
       "2015-10-21 06:14:00                                                0.0                            \n",
       "2015-10-21 06:16:00                                                0.0                            \n",
       "2015-10-21 06:17:00                                                0.0                            \n",
       "2015-10-21 06:18:00                                                0.0                            \n",
       "2015-10-21 06:19:00                                                0.0                            \n",
       "2015-10-21 06:20:00                                                0.0                            \n",
       "2015-10-21 06:21:00                                                0.0                            \n",
       "2015-10-21 06:24:00                                                0.0                            \n",
       "2015-10-21 06:25:00                                                0.0                            \n",
       "2015-10-21 06:26:00                                                0.0                            \n",
       "2015-10-21 06:27:00                                                0.0                            \n",
       "2015-10-21 06:28:00                                                0.0                            \n",
       "2015-10-21 06:29:00                                                0.0                            \n",
       "2015-10-21 07:01:00                                                0.0                            \n",
       "...                                                                ...                            \n",
       "2015-10-21 10:34:00                                                0.0                            \n",
       "2015-10-21 10:35:00                                                0.0                            \n",
       "2015-10-21 10:36:00                                                0.0                            \n",
       "2015-10-21 10:37:00                                                0.0                            \n",
       "2015-10-21 10:38:00                                                0.0                            \n",
       "2015-10-21 10:44:00                                                0.0                            \n",
       "2015-10-21 10:45:00                                                0.0                            \n",
       "2015-10-21 11:10:00                                                0.0                            \n",
       "2015-10-21 11:11:00                                                0.0                            \n",
       "2015-10-21 11:19:00                                                0.0                            \n",
       "2015-10-21 11:22:00                                                0.0                            \n",
       "2015-10-21 11:24:00                                                0.0                            \n",
       "2015-10-21 11:36:00                                                0.0                            \n",
       "2015-10-21 11:37:00                                                0.0                            \n",
       "2015-10-21 11:39:00                                                0.0                            \n",
       "2015-10-21 11:40:00                                                0.0                            \n",
       "2015-10-21 11:41:00                                                0.0                            \n",
       "2015-10-21 11:42:00                                                0.0                            \n",
       "2015-10-21 11:43:00                                                0.0                            \n",
       "2015-10-21 11:44:00                                                0.0                            \n",
       "2015-10-21 11:45:00                                                0.0                            \n",
       "2015-10-21 11:46:00                                                0.0                            \n",
       "2015-10-21 11:47:00                                                0.0                            \n",
       "2015-10-21 11:48:00                                                0.0                            \n",
       "2015-10-21 11:49:00                                                0.0                            \n",
       "2015-10-21 11:50:00                                                0.0                            \n",
       "2015-10-21 11:51:00                                                0.0                            \n",
       "2015-10-21 11:52:00                                                0.0                            \n",
       "2015-10-21 11:53:00                                               12.0                            \n",
       "2015-10-21 11:54:00                                                0.0                            \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                              \n",
       "2015-10-21 05:10:00                                                0.0                              \n",
       "2015-10-21 05:11:00                                                0.0                              \n",
       "2015-10-21 05:12:00                                                0.0                              \n",
       "2015-10-21 06:02:00                                                0.0                              \n",
       "2015-10-21 06:03:00                                                0.0                              \n",
       "2015-10-21 06:04:00                                                0.0                              \n",
       "2015-10-21 06:05:00                                                0.0                              \n",
       "2015-10-21 06:06:00                                                0.0                              \n",
       "2015-10-21 06:07:00                                                0.0                              \n",
       "2015-10-21 06:08:00                                                0.0                              \n",
       "2015-10-21 06:09:00                                                0.0                              \n",
       "2015-10-21 06:10:00                                                0.0                              \n",
       "2015-10-21 06:11:00                                                0.0                              \n",
       "2015-10-21 06:12:00                                                0.0                              \n",
       "2015-10-21 06:13:00                                                0.0                              \n",
       "2015-10-21 06:14:00                                                0.0                              \n",
       "2015-10-21 06:16:00                                                0.0                              \n",
       "2015-10-21 06:17:00                                                0.0                              \n",
       "2015-10-21 06:18:00                                                0.0                              \n",
       "2015-10-21 06:19:00                                                0.0                              \n",
       "2015-10-21 06:20:00                                                0.0                              \n",
       "2015-10-21 06:21:00                                                0.0                              \n",
       "2015-10-21 06:24:00                                                0.0                              \n",
       "2015-10-21 06:25:00                                                0.0                              \n",
       "2015-10-21 06:26:00                                                0.0                              \n",
       "2015-10-21 06:27:00                                                0.0                              \n",
       "2015-10-21 06:28:00                                                0.0                              \n",
       "2015-10-21 06:29:00                                                0.0                              \n",
       "2015-10-21 07:01:00                                                0.0                              \n",
       "...                                                                ...                              \n",
       "2015-10-21 10:34:00                                                1.0                              \n",
       "2015-10-21 10:35:00                                                0.0                              \n",
       "2015-10-21 10:36:00                                               44.0                              \n",
       "2015-10-21 10:37:00                                               43.0                              \n",
       "2015-10-21 10:38:00                                                2.0                              \n",
       "2015-10-21 10:44:00                                               38.0                              \n",
       "2015-10-21 10:45:00                                               33.0                              \n",
       "2015-10-21 11:10:00                                               25.0                              \n",
       "2015-10-21 11:11:00                                               11.0                              \n",
       "2015-10-21 11:19:00                                                0.0                              \n",
       "2015-10-21 11:22:00                                                3.0                              \n",
       "2015-10-21 11:24:00                                                3.0                              \n",
       "2015-10-21 11:36:00                                                0.0                              \n",
       "2015-10-21 11:37:00                                                0.0                              \n",
       "2015-10-21 11:39:00                                               18.0                              \n",
       "2015-10-21 11:40:00                                               12.0                              \n",
       "2015-10-21 11:41:00                                                8.0                              \n",
       "2015-10-21 11:42:00                                                6.0                              \n",
       "2015-10-21 11:43:00                                                6.0                              \n",
       "2015-10-21 11:44:00                                                5.0                              \n",
       "2015-10-21 11:45:00                                                6.0                              \n",
       "2015-10-21 11:46:00                                                6.0                              \n",
       "2015-10-21 11:47:00                                                5.0                              \n",
       "2015-10-21 11:48:00                                                6.0                              \n",
       "2015-10-21 11:49:00                                                6.0                              \n",
       "2015-10-21 11:50:00                                                6.0                              \n",
       "2015-10-21 11:51:00                                                5.0                              \n",
       "2015-10-21 11:52:00                                                6.0                              \n",
       "2015-10-21 11:53:00                                                5.0                              \n",
       "2015-10-21 11:54:00                                                4.0                              \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:41.0) Gecko/20100101 Firefox/41.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                              \n",
       "2015-10-21 05:10:00                                                0.0                              \n",
       "2015-10-21 05:11:00                                                0.0                              \n",
       "2015-10-21 05:12:00                                                0.0                              \n",
       "2015-10-21 06:02:00                                                0.0                              \n",
       "2015-10-21 06:03:00                                                0.0                              \n",
       "2015-10-21 06:04:00                                                0.0                              \n",
       "2015-10-21 06:05:00                                                0.0                              \n",
       "2015-10-21 06:06:00                                                0.0                              \n",
       "2015-10-21 06:07:00                                                0.0                              \n",
       "2015-10-21 06:08:00                                                0.0                              \n",
       "2015-10-21 06:09:00                                                0.0                              \n",
       "2015-10-21 06:10:00                                                7.0                              \n",
       "2015-10-21 06:11:00                                                0.0                              \n",
       "2015-10-21 06:12:00                                                0.0                              \n",
       "2015-10-21 06:13:00                                                0.0                              \n",
       "2015-10-21 06:14:00                                                0.0                              \n",
       "2015-10-21 06:16:00                                                0.0                              \n",
       "2015-10-21 06:17:00                                                0.0                              \n",
       "2015-10-21 06:18:00                                                0.0                              \n",
       "2015-10-21 06:19:00                                                0.0                              \n",
       "2015-10-21 06:20:00                                                0.0                              \n",
       "2015-10-21 06:21:00                                                0.0                              \n",
       "2015-10-21 06:24:00                                                0.0                              \n",
       "2015-10-21 06:25:00                                                0.0                              \n",
       "2015-10-21 06:26:00                                                0.0                              \n",
       "2015-10-21 06:27:00                                               14.0                              \n",
       "2015-10-21 06:28:00                                               28.0                              \n",
       "2015-10-21 06:29:00                                                7.0                              \n",
       "2015-10-21 07:01:00                                                0.0                              \n",
       "...                                                                ...                              \n",
       "2015-10-21 10:34:00                                                0.0                              \n",
       "2015-10-21 10:35:00                                                0.0                              \n",
       "2015-10-21 10:36:00                                                0.0                              \n",
       "2015-10-21 10:37:00                                                0.0                              \n",
       "2015-10-21 10:38:00                                                0.0                              \n",
       "2015-10-21 10:44:00                                                0.0                              \n",
       "2015-10-21 10:45:00                                                0.0                              \n",
       "2015-10-21 11:10:00                                                0.0                              \n",
       "2015-10-21 11:11:00                                                0.0                              \n",
       "2015-10-21 11:19:00                                                0.0                              \n",
       "2015-10-21 11:22:00                                                0.0                              \n",
       "2015-10-21 11:24:00                                                0.0                              \n",
       "2015-10-21 11:36:00                                                0.0                              \n",
       "2015-10-21 11:37:00                                                0.0                              \n",
       "2015-10-21 11:39:00                                                0.0                              \n",
       "2015-10-21 11:40:00                                                0.0                              \n",
       "2015-10-21 11:41:00                                                0.0                              \n",
       "2015-10-21 11:42:00                                                0.0                              \n",
       "2015-10-21 11:43:00                                                0.0                              \n",
       "2015-10-21 11:44:00                                                0.0                              \n",
       "2015-10-21 11:45:00                                                0.0                              \n",
       "2015-10-21 11:46:00                                                0.0                              \n",
       "2015-10-21 11:47:00                                                0.0                              \n",
       "2015-10-21 11:48:00                                                0.0                              \n",
       "2015-10-21 11:49:00                                                0.0                              \n",
       "2015-10-21 11:50:00                                                0.0                              \n",
       "2015-10-21 11:51:00                                                0.0                              \n",
       "2015-10-21 11:52:00                                                0.0                              \n",
       "2015-10-21 11:53:00                                                0.0                              \n",
       "2015-10-21 11:54:00                                                0.0                              \n",
       "\n",
       "                     Mozilla/5.0 (compatible; Nmap Scripting Engine; http://nmap.org/book/nse.html)  \\\n",
       "2015-10-21 05:09:00                                                0.0                                \n",
       "2015-10-21 05:10:00                                                0.0                                \n",
       "2015-10-21 05:11:00                                              132.0                                \n",
       "2015-10-21 05:12:00                                               21.0                                \n",
       "2015-10-21 06:02:00                                                0.0                                \n",
       "2015-10-21 06:03:00                                                0.0                                \n",
       "2015-10-21 06:04:00                                               15.0                                \n",
       "2015-10-21 06:05:00                                                3.0                                \n",
       "2015-10-21 06:06:00                                                0.0                                \n",
       "2015-10-21 06:07:00                                                0.0                                \n",
       "2015-10-21 06:08:00                                                0.0                                \n",
       "2015-10-21 06:09:00                                                0.0                                \n",
       "2015-10-21 06:10:00                                                0.0                                \n",
       "2015-10-21 06:11:00                                                0.0                                \n",
       "2015-10-21 06:12:00                                                0.0                                \n",
       "2015-10-21 06:13:00                                                0.0                                \n",
       "2015-10-21 06:14:00                                                0.0                                \n",
       "2015-10-21 06:16:00                                                0.0                                \n",
       "2015-10-21 06:17:00                                                0.0                                \n",
       "2015-10-21 06:18:00                                                0.0                                \n",
       "2015-10-21 06:19:00                                                0.0                                \n",
       "2015-10-21 06:20:00                                                0.0                                \n",
       "2015-10-21 06:21:00                                                0.0                                \n",
       "2015-10-21 06:24:00                                                0.0                                \n",
       "2015-10-21 06:25:00                                                0.0                                \n",
       "2015-10-21 06:26:00                                                0.0                                \n",
       "2015-10-21 06:27:00                                                0.0                                \n",
       "2015-10-21 06:28:00                                                0.0                                \n",
       "2015-10-21 06:29:00                                                0.0                                \n",
       "2015-10-21 07:01:00                                                0.0                                \n",
       "...                                                                ...                                \n",
       "2015-10-21 10:34:00                                                0.0                                \n",
       "2015-10-21 10:35:00                                                0.0                                \n",
       "2015-10-21 10:36:00                                                0.0                                \n",
       "2015-10-21 10:37:00                                                0.0                                \n",
       "2015-10-21 10:38:00                                                0.0                                \n",
       "2015-10-21 10:44:00                                                0.0                                \n",
       "2015-10-21 10:45:00                                                0.0                                \n",
       "2015-10-21 11:10:00                                                0.0                                \n",
       "2015-10-21 11:11:00                                                0.0                                \n",
       "2015-10-21 11:19:00                                                0.0                                \n",
       "2015-10-21 11:22:00                                                0.0                                \n",
       "2015-10-21 11:24:00                                                0.0                                \n",
       "2015-10-21 11:36:00                                                0.0                                \n",
       "2015-10-21 11:37:00                                                0.0                                \n",
       "2015-10-21 11:39:00                                                0.0                                \n",
       "2015-10-21 11:40:00                                                0.0                                \n",
       "2015-10-21 11:41:00                                                0.0                                \n",
       "2015-10-21 11:42:00                                                0.0                                \n",
       "2015-10-21 11:43:00                                                0.0                                \n",
       "2015-10-21 11:44:00                                                0.0                                \n",
       "2015-10-21 11:45:00                                                0.0                                \n",
       "2015-10-21 11:46:00                                                0.0                                \n",
       "2015-10-21 11:47:00                                                0.0                                \n",
       "2015-10-21 11:48:00                                                0.0                                \n",
       "2015-10-21 11:49:00                                                0.0                                \n",
       "2015-10-21 11:50:00                                                0.0                                \n",
       "2015-10-21 11:51:00                                                0.0                                \n",
       "2015-10-21 11:52:00                                                0.0                                \n",
       "2015-10-21 11:53:00                                                0.0                                \n",
       "2015-10-21 11:54:00                                                0.0                                \n",
       "\n",
       "                     Wget/1.16.1 (linux-gnu)  \n",
       "2015-10-21 05:09:00                      0.0  \n",
       "2015-10-21 05:10:00                      0.0  \n",
       "2015-10-21 05:11:00                      0.0  \n",
       "2015-10-21 05:12:00                      0.0  \n",
       "2015-10-21 06:02:00                      0.0  \n",
       "2015-10-21 06:03:00                      0.0  \n",
       "2015-10-21 06:04:00                      0.0  \n",
       "2015-10-21 06:05:00                      0.0  \n",
       "2015-10-21 06:06:00                      0.0  \n",
       "2015-10-21 06:07:00                      0.0  \n",
       "2015-10-21 06:08:00                      0.0  \n",
       "2015-10-21 06:09:00                      0.0  \n",
       "2015-10-21 06:10:00                      0.0  \n",
       "2015-10-21 06:11:00                      0.0  \n",
       "2015-10-21 06:12:00                      0.0  \n",
       "2015-10-21 06:13:00                      0.0  \n",
       "2015-10-21 06:14:00                      0.0  \n",
       "2015-10-21 06:16:00                      0.0  \n",
       "2015-10-21 06:17:00                      0.0  \n",
       "2015-10-21 06:18:00                      0.0  \n",
       "2015-10-21 06:19:00                      0.0  \n",
       "2015-10-21 06:20:00                      0.0  \n",
       "2015-10-21 06:21:00                      0.0  \n",
       "2015-10-21 06:24:00                      0.0  \n",
       "2015-10-21 06:25:00                      0.0  \n",
       "2015-10-21 06:26:00                      0.0  \n",
       "2015-10-21 06:27:00                      0.0  \n",
       "2015-10-21 06:28:00                      0.0  \n",
       "2015-10-21 06:29:00                      0.0  \n",
       "2015-10-21 07:01:00                      0.0  \n",
       "...                                      ...  \n",
       "2015-10-21 10:34:00                      0.0  \n",
       "2015-10-21 10:35:00                      0.0  \n",
       "2015-10-21 10:36:00                      0.0  \n",
       "2015-10-21 10:37:00                      0.0  \n",
       "2015-10-21 10:38:00                      0.0  \n",
       "2015-10-21 10:44:00                      0.0  \n",
       "2015-10-21 10:45:00                      0.0  \n",
       "2015-10-21 11:10:00                      0.0  \n",
       "2015-10-21 11:11:00                      0.0  \n",
       "2015-10-21 11:19:00                      0.0  \n",
       "2015-10-21 11:22:00                      0.0  \n",
       "2015-10-21 11:24:00                      0.0  \n",
       "2015-10-21 11:36:00                      0.0  \n",
       "2015-10-21 11:37:00                      0.0  \n",
       "2015-10-21 11:39:00                      0.0  \n",
       "2015-10-21 11:40:00                      0.0  \n",
       "2015-10-21 11:41:00                      0.0  \n",
       "2015-10-21 11:42:00                      0.0  \n",
       "2015-10-21 11:43:00                      0.0  \n",
       "2015-10-21 11:44:00                      0.0  \n",
       "2015-10-21 11:45:00                      0.0  \n",
       "2015-10-21 11:46:00                      0.0  \n",
       "2015-10-21 11:47:00                      0.0  \n",
       "2015-10-21 11:48:00                      0.0  \n",
       "2015-10-21 11:49:00                      0.0  \n",
       "2015-10-21 11:50:00                      0.0  \n",
       "2015-10-21 11:51:00                      0.0  \n",
       "2015-10-21 11:52:00                      0.0  \n",
       "2015-10-21 11:53:00                      0.0  \n",
       "2015-10-21 11:54:00                      0.0  \n",
       "\n",
       "[70 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame.from_dict(user_agent_analysis,orient='columns').fillna(0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6IHB3KgMtIiIiNUCpEZfNZlsHpJ+xeDDwVsHPbwFDCi1faLPZ8m022wFgH3CF1WqNBerZ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88+Oyj33xuf+tSn+MlPfnLIV7GDzYvHP2PGjEP6ZKFv7wPIzxMej8cxDINHHnmEhx9+uNcV3qNJ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\n5gw08LPdfcX86x1VdTZwc1WdDnih9mLYIM8GeTbIs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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d253c10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#df.plot(figsize=(12,9))\n",
    "\n",
    "ax = df.plot(rot=90,figsize=(12,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0', 'Mozilla/5.0 (compatible; Nmap Scripting Engine; http://nmap.org/book/nse.html)', '-', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.64 Safari/537.36', 'Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:28.0) Gecko/20100101 Firefox/28.0', 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:41.0) Gecko/20100101 Firefox/41.0', 'Wget/1.16.1 (linux-gnu)']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>-</th>\n",
       "      <th>Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:28.0) Gecko/20100101 Firefox/28.0</th>\n",
       "      <th>Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0</th>\n",
       "      <th>Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:41.0) Gecko/20100101 Firefox/41.0</th>\n",
       "      <th>Mozilla/5.0 (compatible; Nmap Scripting Engine; http://nmap.org/book/nse.html)</th>\n",
       "      <th>Wget/1.16.1 (linux-gnu)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:09:00</th>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:10:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:11:00</th>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:12:00</th>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:03:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:04:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:05:00</th>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:10:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:27:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:28:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:29:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:01:00</th>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:02:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:42:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:43:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:59:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 08:00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 08:01:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:29:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:31:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:32:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:33:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:34:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:35:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:36:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:37:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:38:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:10:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:11:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:19:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:22:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:24:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:36:00</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:37:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:39:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:40:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:41:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:42:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:43:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:46:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:47:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:48:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:49:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:50:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:51:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:52:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:53:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:54:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        -  \\\n",
       "2015-10-21 05:09:00  29.0   \n",
       "2015-10-21 05:10:00   2.0   \n",
       "2015-10-21 05:11:00  21.0   \n",
       "2015-10-21 05:12:00   7.0   \n",
       "2015-10-21 06:03:00   1.0   \n",
       "2015-10-21 06:04:00   1.0   \n",
       "2015-10-21 06:05:00  19.0   \n",
       "2015-10-21 06:10:00   0.0   \n",
       "2015-10-21 06:27:00   0.0   \n",
       "2015-10-21 06:28:00   0.0   \n",
       "2015-10-21 06:29:00   0.0   \n",
       "2015-10-21 07:01:00  12.0   \n",
       "2015-10-21 07:02:00   1.0   \n",
       "2015-10-21 07:42:00   0.0   \n",
       "2015-10-21 07:43:00   0.0   \n",
       "2015-10-21 07:59:00   0.0   \n",
       "2015-10-21 08:00:00   0.0   \n",
       "2015-10-21 08:01:00   0.0   \n",
       "2015-10-21 10:29:00   0.0   \n",
       "2015-10-21 10:31:00   0.0   \n",
       "2015-10-21 10:32:00   0.0   \n",
       "2015-10-21 10:33:00   0.0   \n",
       "2015-10-21 10:34:00   0.0   \n",
       "2015-10-21 10:35:00   1.0   \n",
       "2015-10-21 10:36:00   0.0   \n",
       "2015-10-21 10:37:00   0.0   \n",
       "2015-10-21 10:38:00   0.0   \n",
       "2015-10-21 10:44:00   0.0   \n",
       "2015-10-21 10:45:00   0.0   \n",
       "2015-10-21 11:10:00   0.0   \n",
       "2015-10-21 11:11:00   0.0   \n",
       "2015-10-21 11:19:00   2.0   \n",
       "2015-10-21 11:22:00   0.0   \n",
       "2015-10-21 11:24:00   0.0   \n",
       "2015-10-21 11:36:00   6.0   \n",
       "2015-10-21 11:37:00   1.0   \n",
       "2015-10-21 11:39:00   0.0   \n",
       "2015-10-21 11:40:00   0.0   \n",
       "2015-10-21 11:41:00   0.0   \n",
       "2015-10-21 11:42:00   0.0   \n",
       "2015-10-21 11:43:00   0.0   \n",
       "2015-10-21 11:44:00   0.0   \n",
       "2015-10-21 11:45:00   0.0   \n",
       "2015-10-21 11:46:00   0.0   \n",
       "2015-10-21 11:47:00   0.0   \n",
       "2015-10-21 11:48:00   0.0   \n",
       "2015-10-21 11:49:00   0.0   \n",
       "2015-10-21 11:50:00   0.0   \n",
       "2015-10-21 11:51:00   0.0   \n",
       "2015-10-21 11:52:00   0.0   \n",
       "2015-10-21 11:53:00   0.0   \n",
       "2015-10-21 11:54:00   0.0   \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:28.0) Gecko/20100101 Firefox/28.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                            \n",
       "2015-10-21 05:10:00                                                0.0                            \n",
       "2015-10-21 05:11:00                                                0.0                            \n",
       "2015-10-21 05:12:00                                                0.0                            \n",
       "2015-10-21 06:03:00                                                0.0                            \n",
       "2015-10-21 06:04:00                                                0.0                            \n",
       "2015-10-21 06:05:00                                                0.0                            \n",
       "2015-10-21 06:10:00                                                0.0                            \n",
       "2015-10-21 06:27:00                                                0.0                            \n",
       "2015-10-21 06:28:00                                                0.0                            \n",
       "2015-10-21 06:29:00                                                0.0                            \n",
       "2015-10-21 07:01:00                                                0.0                            \n",
       "2015-10-21 07:02:00                                                0.0                            \n",
       "2015-10-21 07:42:00                                                0.0                            \n",
       "2015-10-21 07:43:00                                                0.0                            \n",
       "2015-10-21 07:59:00                                                0.0                            \n",
       "2015-10-21 08:00:00                                                0.0                            \n",
       "2015-10-21 08:01:00                                                0.0                            \n",
       "2015-10-21 10:29:00                                                0.0                            \n",
       "2015-10-21 10:31:00                                                0.0                            \n",
       "2015-10-21 10:32:00                                                0.0                            \n",
       "2015-10-21 10:33:00                                                0.0                            \n",
       "2015-10-21 10:34:00                                                0.0                            \n",
       "2015-10-21 10:35:00                                                0.0                            \n",
       "2015-10-21 10:36:00                                                0.0                            \n",
       "2015-10-21 10:37:00                                                0.0                            \n",
       "2015-10-21 10:38:00                                                0.0                            \n",
       "2015-10-21 10:44:00                                                0.0                            \n",
       "2015-10-21 10:45:00                                                0.0                            \n",
       "2015-10-21 11:10:00                                                0.0                            \n",
       "2015-10-21 11:11:00                                                0.0                            \n",
       "2015-10-21 11:19:00                                                0.0                            \n",
       "2015-10-21 11:22:00                                                0.0                            \n",
       "2015-10-21 11:24:00                                                0.0                            \n",
       "2015-10-21 11:36:00                                                0.0                            \n",
       "2015-10-21 11:37:00                                                0.0                            \n",
       "2015-10-21 11:39:00                                                0.0                            \n",
       "2015-10-21 11:40:00                                                0.0                            \n",
       "2015-10-21 11:41:00                                                0.0                            \n",
       "2015-10-21 11:42:00                                                0.0                            \n",
       "2015-10-21 11:43:00                                                0.0                            \n",
       "2015-10-21 11:44:00                                                0.0                            \n",
       "2015-10-21 11:45:00                                                0.0                            \n",
       "2015-10-21 11:46:00                                                0.0                            \n",
       "2015-10-21 11:47:00                                                0.0                            \n",
       "2015-10-21 11:48:00                                                0.0                            \n",
       "2015-10-21 11:49:00                                                0.0                            \n",
       "2015-10-21 11:50:00                                                0.0                            \n",
       "2015-10-21 11:51:00                                                0.0                            \n",
       "2015-10-21 11:52:00                                                0.0                            \n",
       "2015-10-21 11:53:00                                               12.0                            \n",
       "2015-10-21 11:54:00                                                0.0                            \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                              \n",
       "2015-10-21 05:10:00                                                0.0                              \n",
       "2015-10-21 05:11:00                                                0.0                              \n",
       "2015-10-21 05:12:00                                                0.0                              \n",
       "2015-10-21 06:03:00                                                0.0                              \n",
       "2015-10-21 06:04:00                                                0.0                              \n",
       "2015-10-21 06:05:00                                                0.0                              \n",
       "2015-10-21 06:10:00                                                0.0                              \n",
       "2015-10-21 06:27:00                                                0.0                              \n",
       "2015-10-21 06:28:00                                                0.0                              \n",
       "2015-10-21 06:29:00                                                0.0                              \n",
       "2015-10-21 07:01:00                                                0.0                              \n",
       "2015-10-21 07:02:00                                                0.0                              \n",
       "2015-10-21 07:42:00                                                0.0                              \n",
       "2015-10-21 07:43:00                                                0.0                              \n",
       "2015-10-21 07:59:00                                                0.0                              \n",
       "2015-10-21 08:00:00                                                0.0                              \n",
       "2015-10-21 08:01:00                                                0.0                              \n",
       "2015-10-21 10:29:00                                                8.0                              \n",
       "2015-10-21 10:31:00                                                2.0                              \n",
       "2015-10-21 10:32:00                                                2.0                              \n",
       "2015-10-21 10:33:00                                                2.0                              \n",
       "2015-10-21 10:34:00                                                1.0                              \n",
       "2015-10-21 10:35:00                                                0.0                              \n",
       "2015-10-21 10:36:00                                               44.0                              \n",
       "2015-10-21 10:37:00                                               43.0                              \n",
       "2015-10-21 10:38:00                                                2.0                              \n",
       "2015-10-21 10:44:00                                               38.0                              \n",
       "2015-10-21 10:45:00                                               33.0                              \n",
       "2015-10-21 11:10:00                                               25.0                              \n",
       "2015-10-21 11:11:00                                               11.0                              \n",
       "2015-10-21 11:19:00                                                0.0                              \n",
       "2015-10-21 11:22:00                                                3.0                              \n",
       "2015-10-21 11:24:00                                                3.0                              \n",
       "2015-10-21 11:36:00                                                0.0                              \n",
       "2015-10-21 11:37:00                                                0.0                              \n",
       "2015-10-21 11:39:00                                               18.0                              \n",
       "2015-10-21 11:40:00                                               12.0                              \n",
       "2015-10-21 11:41:00                                                8.0                              \n",
       "2015-10-21 11:42:00                                                6.0                              \n",
       "2015-10-21 11:43:00                                                6.0                              \n",
       "2015-10-21 11:44:00                                                5.0                              \n",
       "2015-10-21 11:45:00                                                6.0                              \n",
       "2015-10-21 11:46:00                                                6.0                              \n",
       "2015-10-21 11:47:00                                                5.0                              \n",
       "2015-10-21 11:48:00                                                6.0                              \n",
       "2015-10-21 11:49:00                                                6.0                              \n",
       "2015-10-21 11:50:00                                                6.0                              \n",
       "2015-10-21 11:51:00                                                5.0                              \n",
       "2015-10-21 11:52:00                                                6.0                              \n",
       "2015-10-21 11:53:00                                                5.0                              \n",
       "2015-10-21 11:54:00                                                4.0                              \n",
       "\n",
       "                     Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:41.0) Gecko/20100101 Firefox/41.0  \\\n",
       "2015-10-21 05:09:00                                                0.0                              \n",
       "2015-10-21 05:10:00                                                0.0                              \n",
       "2015-10-21 05:11:00                                                0.0                              \n",
       "2015-10-21 05:12:00                                                0.0                              \n",
       "2015-10-21 06:03:00                                                0.0                              \n",
       "2015-10-21 06:04:00                                                0.0                              \n",
       "2015-10-21 06:05:00                                                0.0                              \n",
       "2015-10-21 06:10:00                                                7.0                              \n",
       "2015-10-21 06:27:00                                               14.0                              \n",
       "2015-10-21 06:28:00                                               28.0                              \n",
       "2015-10-21 06:29:00                                                7.0                              \n",
       "2015-10-21 07:01:00                                                0.0                              \n",
       "2015-10-21 07:02:00                                                0.0                              \n",
       "2015-10-21 07:42:00                                                3.0                              \n",
       "2015-10-21 07:43:00                                                2.0                              \n",
       "2015-10-21 07:59:00                                               16.0                              \n",
       "2015-10-21 08:00:00                                                6.0                              \n",
       "2015-10-21 08:01:00                                               16.0                              \n",
       "2015-10-21 10:29:00                                                0.0                              \n",
       "2015-10-21 10:31:00                                                0.0                              \n",
       "2015-10-21 10:32:00                                                0.0                              \n",
       "2015-10-21 10:33:00                                                0.0                              \n",
       "2015-10-21 10:34:00                                                0.0                              \n",
       "2015-10-21 10:35:00                                                0.0                              \n",
       "2015-10-21 10:36:00                                                0.0                              \n",
       "2015-10-21 10:37:00                                                0.0                              \n",
       "2015-10-21 10:38:00                                                0.0                              \n",
       "2015-10-21 10:44:00                                                0.0                              \n",
       "2015-10-21 10:45:00                                                0.0                              \n",
       "2015-10-21 11:10:00                                                0.0                              \n",
       "2015-10-21 11:11:00                                                0.0                              \n",
       "2015-10-21 11:19:00                                                0.0                              \n",
       "2015-10-21 11:22:00                                                0.0                              \n",
       "2015-10-21 11:24:00                                                0.0                              \n",
       "2015-10-21 11:36:00                                                0.0                              \n",
       "2015-10-21 11:37:00                                                0.0                              \n",
       "2015-10-21 11:39:00                                                0.0                              \n",
       "2015-10-21 11:40:00                                                0.0                              \n",
       "2015-10-21 11:41:00                                                0.0                              \n",
       "2015-10-21 11:42:00                                                0.0                              \n",
       "2015-10-21 11:43:00                                                0.0                              \n",
       "2015-10-21 11:44:00                                                0.0                              \n",
       "2015-10-21 11:45:00                                                0.0                              \n",
       "2015-10-21 11:46:00                                                0.0                              \n",
       "2015-10-21 11:47:00                                                0.0                              \n",
       "2015-10-21 11:48:00                                                0.0                              \n",
       "2015-10-21 11:49:00                                                0.0                              \n",
       "2015-10-21 11:50:00                                                0.0                              \n",
       "2015-10-21 11:51:00                                                0.0                              \n",
       "2015-10-21 11:52:00                                                0.0                              \n",
       "2015-10-21 11:53:00                                                0.0                              \n",
       "2015-10-21 11:54:00                                                0.0                              \n",
       "\n",
       "                     Mozilla/5.0 (compatible; Nmap Scripting Engine; http://nmap.org/book/nse.html)  \\\n",
       "2015-10-21 05:09:00                                                0.0                                \n",
       "2015-10-21 05:10:00                                                0.0                                \n",
       "2015-10-21 05:11:00                                              132.0                                \n",
       "2015-10-21 05:12:00                                               21.0                                \n",
       "2015-10-21 06:03:00                                                0.0                                \n",
       "2015-10-21 06:04:00                                               15.0                                \n",
       "2015-10-21 06:05:00                                                3.0                                \n",
       "2015-10-21 06:10:00                                                0.0                                \n",
       "2015-10-21 06:27:00                                                0.0                                \n",
       "2015-10-21 06:28:00                                                0.0                                \n",
       "2015-10-21 06:29:00                                                0.0                                \n",
       "2015-10-21 07:01:00                                                0.0                                \n",
       "2015-10-21 07:02:00                                                0.0                                \n",
       "2015-10-21 07:42:00                                                0.0                                \n",
       "2015-10-21 07:43:00                                                0.0                                \n",
       "2015-10-21 07:59:00                                                0.0                                \n",
       "2015-10-21 08:00:00                                                0.0                                \n",
       "2015-10-21 08:01:00                                                0.0                                \n",
       "2015-10-21 10:29:00                                                0.0                                \n",
       "2015-10-21 10:31:00                                                0.0                                \n",
       "2015-10-21 10:32:00                                                0.0                                \n",
       "2015-10-21 10:33:00                                                0.0                                \n",
       "2015-10-21 10:34:00                                                0.0                                \n",
       "2015-10-21 10:35:00                                                0.0                                \n",
       "2015-10-21 10:36:00                                                0.0                                \n",
       "2015-10-21 10:37:00                                                0.0                                \n",
       "2015-10-21 10:38:00                                                0.0                                \n",
       "2015-10-21 10:44:00                                                0.0                                \n",
       "2015-10-21 10:45:00                                                0.0                                \n",
       "2015-10-21 11:10:00                                                0.0                                \n",
       "2015-10-21 11:11:00                                                0.0                                \n",
       "2015-10-21 11:19:00                                                0.0                                \n",
       "2015-10-21 11:22:00                                                0.0                                \n",
       "2015-10-21 11:24:00                                                0.0                                \n",
       "2015-10-21 11:36:00                                                0.0                                \n",
       "2015-10-21 11:37:00                                                0.0                                \n",
       "2015-10-21 11:39:00                                                0.0                                \n",
       "2015-10-21 11:40:00                                                0.0                                \n",
       "2015-10-21 11:41:00                                                0.0                                \n",
       "2015-10-21 11:42:00                                                0.0                                \n",
       "2015-10-21 11:43:00                                                0.0                                \n",
       "2015-10-21 11:44:00                                                0.0                                \n",
       "2015-10-21 11:45:00                                                0.0                                \n",
       "2015-10-21 11:46:00                                                0.0                                \n",
       "2015-10-21 11:47:00                                                0.0                                \n",
       "2015-10-21 11:48:00                                                0.0                                \n",
       "2015-10-21 11:49:00                                                0.0                                \n",
       "2015-10-21 11:50:00                                                0.0                                \n",
       "2015-10-21 11:51:00                                                0.0                                \n",
       "2015-10-21 11:52:00                                                0.0                                \n",
       "2015-10-21 11:53:00                                                0.0                                \n",
       "2015-10-21 11:54:00                                                0.0                                \n",
       "\n",
       "                     Wget/1.16.1 (linux-gnu)  \n",
       "2015-10-21 05:09:00                      0.0  \n",
       "2015-10-21 05:10:00                      0.0  \n",
       "2015-10-21 05:11:00                      0.0  \n",
       "2015-10-21 05:12:00                      0.0  \n",
       "2015-10-21 06:03:00                      0.0  \n",
       "2015-10-21 06:04:00                      0.0  \n",
       "2015-10-21 06:05:00                      0.0  \n",
       "2015-10-21 06:10:00                      0.0  \n",
       "2015-10-21 06:27:00                      0.0  \n",
       "2015-10-21 06:28:00                      0.0  \n",
       "2015-10-21 06:29:00                      0.0  \n",
       "2015-10-21 07:01:00                      0.0  \n",
       "2015-10-21 07:02:00                      0.0  \n",
       "2015-10-21 07:42:00                      1.0  \n",
       "2015-10-21 07:43:00                      0.0  \n",
       "2015-10-21 07:59:00                      0.0  \n",
       "2015-10-21 08:00:00                      0.0  \n",
       "2015-10-21 08:01:00                      0.0  \n",
       "2015-10-21 10:29:00                      0.0  \n",
       "2015-10-21 10:31:00                      0.0  \n",
       "2015-10-21 10:32:00                      0.0  \n",
       "2015-10-21 10:33:00                      0.0  \n",
       "2015-10-21 10:34:00                      0.0  \n",
       "2015-10-21 10:35:00                      0.0  \n",
       "2015-10-21 10:36:00                      0.0  \n",
       "2015-10-21 10:37:00                      0.0  \n",
       "2015-10-21 10:38:00                      0.0  \n",
       "2015-10-21 10:44:00                      0.0  \n",
       "2015-10-21 10:45:00                      0.0  \n",
       "2015-10-21 11:10:00                      0.0  \n",
       "2015-10-21 11:11:00                      0.0  \n",
       "2015-10-21 11:19:00                      0.0  \n",
       "2015-10-21 11:22:00                      0.0  \n",
       "2015-10-21 11:24:00                      0.0  \n",
       "2015-10-21 11:36:00                      0.0  \n",
       "2015-10-21 11:37:00                      0.0  \n",
       "2015-10-21 11:39:00                      0.0  \n",
       "2015-10-21 11:40:00                      0.0  \n",
       "2015-10-21 11:41:00                      0.0  \n",
       "2015-10-21 11:42:00                      0.0  \n",
       "2015-10-21 11:43:00                      0.0  \n",
       "2015-10-21 11:44:00                      0.0  \n",
       "2015-10-21 11:45:00                      0.0  \n",
       "2015-10-21 11:46:00                      0.0  \n",
       "2015-10-21 11:47:00                      0.0  \n",
       "2015-10-21 11:48:00                      0.0  \n",
       "2015-10-21 11:49:00                      0.0  \n",
       "2015-10-21 11:50:00                      0.0  \n",
       "2015-10-21 11:51:00                      0.0  \n",
       "2015-10-21 11:52:00                      0.0  \n",
       "2015-10-21 11:53:00                      0.0  \n",
       "2015-10-21 11:54:00                      0.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_agent_analysis2 = user_agent_analysis\n",
    "print(user_agent_analysis2.keys())\n",
    "high_volume_user_agents = [\n",
    "    \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.64 Safari/537.36\"\n",
    "]\n",
    "for ua in high_volume_user_agents:    \n",
    "    if ua in user_agent_analysis2.keys():\n",
    "        del user_agent_analysis2[ua]\n",
    "df2 = pd.DataFrame.from_dict(user_agent_analysis2,orient='columns').fillna(0)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110b9ee90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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w5HI5qampksL85MkTAgMDOXz4MNWqVWPChAn8/PPPdOnSRa+cmzdvEhYWxrFj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\nnHsJ8erH0f/5G8y/70eo8owiowrC/ey5x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Zi2ft8AzszM9eMDEeHfE3MmMz8aEZ9jshC6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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110ad7290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(rot=90,figsize=(12,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Lets analyze status codes\n",
    "status_code_analysis = {}\n",
    "status_code_overall = {}\n",
    "earliest_time = None\n",
    "latest_time = None\n",
    "for line in http_data:\n",
    "    # Extract the timestamp\n",
    "    timestamp = datetime.fromtimestamp(float(line.split('\\t')[0]))\n",
    "    # Strip minute, second and microsecond from timestamp\n",
    "    #timestamp = str(timestamp.replace(minute=0,second=0,microsecond=0))\n",
    "    timestamp = str(timestamp.replace(second=0,microsecond=0))\n",
    "    \n",
    "    # Extract the status code\n",
    "    status_code = line.split('\\t')[14]\n",
    "    \n",
    "    # Update status code analysis variable\n",
    "    if status_code not in status_code_analysis.keys():\n",
    "        status_code_analysis[status_code] = {timestamp: 1}\n",
    "    else:\n",
    "        if timestamp not in status_code_analysis[status_code].keys():\n",
    "            status_code_analysis[status_code][timestamp] = 1\n",
    "        else:\n",
    "            status_code_analysis[status_code][timestamp] += 1\n",
    "            \n",
    "    # Update overall status code count\n",
    "    if status_code not in status_code_overall.keys():\n",
    "        status_code_overall[status_code] = 1\n",
    "    else:\n",
    "        status_code_overall[status_code] += 1\n",
    "    \n",
    "    # Update our earliest and latest time as needed\n",
    "    if earliest_time is None or timestamp < earliest_time:\n",
    "        earliest_time = timestamp\n",
    "    if latest_time is None or timestamp > latest_time:\n",
    "        latest_time = timestamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jF2MA/BZAlZm1/M7MWhIuxhZKYGAYBgaDQQTknlSCIJCupprl5eXGxYsXNwLA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\nRERUchhwiIiIqOT8H2bAo6lU5KZKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110ffde50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Format data for the plot function\n",
    "status_label = []\n",
    "data = []\n",
    "for code in sorted(status_code_overall.keys()):\n",
    "    status_label.append(str(code) + \" (\" + str(status_code_overall[code]) + \")\")\n",
    "    data.append(status_code_overall[code])\n",
    "\n",
    "plot.figure(1,figsize=[8,8])\n",
    "patches, texts = plot.pie(data, shadow=True, startangle=90)\n",
    "plot.legend(patches, status_label,loc=\"best\")\n",
    "plot.title('Status Code Distribution')\n",
    "plot.axis('equal')\n",
    "plot.tight_layout()\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>-</th>\n",
       "      <th>200</th>\n",
       "      <th>301</th>\n",
       "      <th>302</th>\n",
       "      <th>304</th>\n",
       "      <th>400</th>\n",
       "      <th>401</th>\n",
       "      <th>404</th>\n",
       "      <th>405</th>\n",
       "      <th>501</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:09:00</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:10:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:11:00</th>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 05:12:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:02:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:03:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:04:00</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:05:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:06:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1196.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:07:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>993.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:08:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1171.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:09:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:10:00</th>\n",
       "      <td>5.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:11:00</th>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:12:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:13:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:14:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:16:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:17:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:18:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:19:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:20:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:21:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:24:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:25:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:26:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:27:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:28:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 06:29:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 07:01:00</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:34:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:35:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:36:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:37:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:38:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 10:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:10:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:11:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:19:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:22:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:24:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:36:00</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:37:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:39:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:40:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:41:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:42:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:43:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:44:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:45:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:46:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:47:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:48:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:49:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:50:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:51:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:52:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:53:00</th>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-21 11:54:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       -     200  301   302   304   400   401   404   405  \\\n",
       "2015-10-21 05:09:00  8.0     3.0  0.0   4.0   0.0   0.0   2.0   2.0   0.0   \n",
       "2015-10-21 05:10:00  2.0     0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 05:11:00  8.0    18.0  0.0  13.0   0.0  39.0  11.0  14.0  11.0   \n",
       "2015-10-21 05:12:00  0.0     0.0  0.0   0.0   0.0  22.0   0.0   2.0   2.0   \n",
       "2015-10-21 06:02:00  1.0     0.0  0.0   0.0   0.0   0.0   1.0   2.0   0.0   \n",
       "2015-10-21 06:03:00  0.0     0.0  0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:04:00  4.0     1.0  0.0   6.0   0.0   7.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:05:00  1.0   376.0  0.0   0.0   0.0  22.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:06:00  0.0  1196.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:07:00  0.0   993.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:08:00  0.0  1171.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:09:00  1.0  1015.0  0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:10:00  5.0    20.0  0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:11:00  5.0    13.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:12:00  0.0     1.0  0.0   0.0   0.0   0.0   0.0   1.0   0.0   \n",
       "2015-10-21 06:13:00  0.0    13.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:14:00  0.0    63.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:16:00  0.0    58.0  0.0   6.0   0.0   2.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:17:00  0.0    13.0  0.0   0.0   0.0   6.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:18:00  0.0     6.0  0.0   0.0   0.0   3.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:19:00  0.0     2.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:20:00  0.0    46.0  0.0   2.0   0.0   7.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:21:00  0.0     2.0  0.0   0.0   0.0   1.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:24:00  0.0     3.0  0.0   0.0   0.0   1.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:25:00  0.0     7.0  0.0   0.0   0.0   3.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:26:00  0.0     1.0  0.0   0.0   0.0   1.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:27:00  0.0    14.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:28:00  0.0    28.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 06:29:00  0.0     7.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 07:01:00  4.0     2.0  0.0   4.0   0.0   0.0   0.0   1.0   0.0   \n",
       "...                  ...     ...  ...   ...   ...   ...   ...   ...   ...   \n",
       "2015-10-21 10:34:00  0.0     0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 10:35:00  0.0     0.0  0.0   0.0   0.0   0.0   0.0   1.0   0.0   \n",
       "2015-10-21 10:36:00  0.0    24.0  0.0   0.0  18.0   0.0   2.0   0.0   0.0   \n",
       "2015-10-21 10:37:00  0.0     9.0  0.0   0.0  34.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 10:38:00  0.0     2.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 10:44:00  0.0    32.0  0.0   6.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 10:45:00  0.0    30.0  0.0   3.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:10:00  0.0    21.0  0.0   3.0   0.0   0.0   1.0   0.0   0.0   \n",
       "2015-10-21 11:11:00  0.0    10.0  0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:19:00  0.0     2.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:22:00  0.0     1.0  0.0   0.0   0.0   0.0   0.0   2.0   0.0   \n",
       "2015-10-21 11:24:00  0.0     1.0  0.0   0.0   0.0   0.0   0.0   2.0   0.0   \n",
       "2015-10-21 11:36:00  4.0     0.0  0.0   2.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:37:00  1.0     0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:39:00  2.0    14.0  0.0   2.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:40:00  0.0    12.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:41:00  0.0     8.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:42:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:43:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:44:00  0.0     5.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:45:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:46:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:47:00  0.0     5.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:48:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:49:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:50:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:51:00  0.0     5.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:52:00  0.0     6.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:53:00  2.0    14.0  0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2015-10-21 11:54:00  0.0     4.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "                      501  \n",
       "2015-10-21 05:09:00  10.0  \n",
       "2015-10-21 05:10:00   0.0  \n",
       "2015-10-21 05:11:00  39.0  \n",
       "2015-10-21 05:12:00   2.0  \n",
       "2015-10-21 06:02:00   0.0  \n",
       "2015-10-21 06:03:00   0.0  \n",
       "2015-10-21 06:04:00   0.0  \n",
       "2015-10-21 06:05:00   0.0  \n",
       "2015-10-21 06:06:00   0.0  \n",
       "2015-10-21 06:07:00   0.0  \n",
       "2015-10-21 06:08:00   0.0  \n",
       "2015-10-21 06:09:00   0.0  \n",
       "2015-10-21 06:10:00   0.0  \n",
       "2015-10-21 06:11:00   0.0  \n",
       "2015-10-21 06:12:00   0.0  \n",
       "2015-10-21 06:13:00   0.0  \n",
       "2015-10-21 06:14:00   0.0  \n",
       "2015-10-21 06:16:00   0.0  \n",
       "2015-10-21 06:17:00   0.0  \n",
       "2015-10-21 06:18:00   0.0  \n",
       "2015-10-21 06:19:00   0.0  \n",
       "2015-10-21 06:20:00   0.0  \n",
       "2015-10-21 06:21:00   0.0  \n",
       "2015-10-21 06:24:00   0.0  \n",
       "2015-10-21 06:25:00   0.0  \n",
       "2015-10-21 06:26:00   0.0  \n",
       "2015-10-21 06:27:00   0.0  \n",
       "2015-10-21 06:28:00   0.0  \n",
       "2015-10-21 06:29:00   0.0  \n",
       "2015-10-21 07:01:00   1.0  \n",
       "...                   ...  \n",
       "2015-10-21 10:34:00   1.0  \n",
       "2015-10-21 10:35:00   0.0  \n",
       "2015-10-21 10:36:00   0.0  \n",
       "2015-10-21 10:37:00   0.0  \n",
       "2015-10-21 10:38:00   0.0  \n",
       "2015-10-21 10:44:00   0.0  \n",
       "2015-10-21 10:45:00   0.0  \n",
       "2015-10-21 11:10:00   0.0  \n",
       "2015-10-21 11:11:00   0.0  \n",
       "2015-10-21 11:19:00   0.0  \n",
       "2015-10-21 11:22:00   0.0  \n",
       "2015-10-21 11:24:00   0.0  \n",
       "2015-10-21 11:36:00   0.0  \n",
       "2015-10-21 11:37:00   0.0  \n",
       "2015-10-21 11:39:00   0.0  \n",
       "2015-10-21 11:40:00   0.0  \n",
       "2015-10-21 11:41:00   0.0  \n",
       "2015-10-21 11:42:00   0.0  \n",
       "2015-10-21 11:43:00   0.0  \n",
       "2015-10-21 11:44:00   0.0  \n",
       "2015-10-21 11:45:00   0.0  \n",
       "2015-10-21 11:46:00   0.0  \n",
       "2015-10-21 11:47:00   0.0  \n",
       "2015-10-21 11:48:00   0.0  \n",
       "2015-10-21 11:49:00   0.0  \n",
       "2015-10-21 11:50:00   0.0  \n",
       "2015-10-21 11:51:00   0.0  \n",
       "2015-10-21 11:52:00   0.0  \n",
       "2015-10-21 11:53:00   0.0  \n",
       "2015-10-21 11:54:00   0.0  \n",
       "\n",
       "[70 rows x 10 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Output the status codes in table form\n",
    "df = pd.DataFrame.from_dict(status_code_analysis,orient='columns').fillna(0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x104d01990>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OMDAwwNq1axkYGODo0aNvun/v3r2sWbPmTfOhW8kAHYDmUd4dbT3K2xYOSZI0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110fd3610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the status codes\n",
    "df.plot(rot=90,figsize=(12,9))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['304', '301', '302', '-', '405', '404', '401', '400', '501']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111531190>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wk8C853nPua475Xney61LfgxMbfDcu4C7ADzPo1wuD77qhOqBxaRjr/uaK2YF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hhGtpcf1NZ5U8Rs9ST6xhbfyDCKZiZvI/TswvdzfFZSbRl94TLOodF9AFGQ6I+9WW4z/3+B1QTD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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104d01890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Remove the 200 status code and re-plot the status codes\n",
    "status_code_analysis2 = status_code_analysis\n",
    "if '200' in status_code_analysis2.keys():\n",
    "    del status_code_analysis2['200']\n",
    "print(status_code_analysis2.keys())\n",
    "df2 = pd.DataFrame.from_dict(status_code_analysis2,orient='columns').fillna(0)\n",
    "df2.plot(rot=90, figsize=(12,9))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
